An Efficient Ancient Tamil Script Classification System using Gradient Boosted Tree Algorithm
T.S.Suganya1 , S.Murugavalli

1T.S.Suganya*, Research Scholar, Department of Computer Science, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India.
2Dr. S.Murugavalli, Professor & Head , Department Computer Science & Engineering, Panimalar Engineering College , Chennai,Tamilnadu, India.

Manuscript received on 3 August 2019. | Revised Manuscript received on 10 August 2019. | Manuscript published on 30 September 2019. | PP: 2666-2672 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4943098319/2019©BEIESP | DOI: 10.35940/ijrte.C4943.098319
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Abstract: A variety of historical information’s has been derived and obtained from the various forms of inscriptions existing worldwide. Regional languages of certain selected sources have been employed in the inscription writing procedures. One such regional language with a wealthy literature and heritage that can be suitably opted for the inscription writing process is ‘Tamil’. Encryption of the writing was done with the help of certain materials such as metals, conch shells, stones, palm leaf, and copper plate. These are found to be rich in the data contents related to the fields of history, religious, administrative, astronomy, culture, economic tax and educational conditions. This paper incorporates certain feature extraction methods like Shape and Hough transform and Gradient Boosting tree as classifiers for identifying the ancient Tamil script.
Keywords: About four key words or phrases in alphabetical order, separated by commas.

Scope of the Article:
Network Coding